diff --git a/benchmarks/track_fitting/config.yml b/benchmarks/track_fitting/config.yml
new file mode 100644
index 0000000000000000000000000000000000000000..782f19b1f6378e6ee57d8c3ebc233f2304839b8c
--- /dev/null
+++ b/benchmarks/track_fitting/config.yml
@@ -0,0 +1,7 @@
+track_fitting:single_tracks:
+ extends: .rec_benchmark
+ stage: run
+ script:
+ - bash benchmarks/track_fitting/single_tracks.sh
+
+
diff --git a/benchmarks/track_fitting/options/track_reconstruction.py b/benchmarks/track_fitting/options/track_reconstruction.py
new file mode 100644
index 0000000000000000000000000000000000000000..b657a008f9e2cde7fea75385da4b4c287c862ac8
--- /dev/null
+++ b/benchmarks/track_fitting/options/track_reconstruction.py
@@ -0,0 +1,198 @@
+from Gaudi.Configuration import *
+
+from Configurables import ApplicationMgr, EICDataSvc, PodioOutput, GeoSvc
+from GaudiKernel import SystemOfUnits as units
+
+detector_name = "topside"
+if "JUGGLER_DETECTOR" in os.environ :
+ detector_name = str(os.environ["JUGGLER_DETECTOR"])
+
+detector_path = ""
+if "DETECTOR_PATH" in os.environ :
+ detector_path = str(os.environ["DETECTOR_PATH"])
+
+# todo add checks
+input_sim_file = str(os.environ["JUGGLER_SIM_FILE"])
+output_rec_file = str(os.environ["JUGGLER_REC_FILE"])
+n_events = str(os.environ["JUGGLER_N_EVENTS"])
+
+geo_service = GeoSvc("GeoSvc", detectors=["{}/{}.xml".format(detector_path,detector_name)], OutputLevel=WARNING)
+podioevent = EICDataSvc("EventDataSvc", inputs=[input_sim_file], OutputLevel=WARNING)
+
+from Configurables import PodioInput
+from Configurables import Jug__Base__InputCopier_dd4pod__Geant4ParticleCollection_dd4pod__Geant4ParticleCollection_ as MCCopier
+from Configurables import Jug__Base__InputCopier_dd4pod__CalorimeterHitCollection_dd4pod__CalorimeterHitCollection_ as CalCopier
+from Configurables import Jug__Base__InputCopier_dd4pod__TrackerHitCollection_dd4pod__TrackerHitCollection_ as TrkCopier
+
+from Configurables import Jug__Digi__ExampleCaloDigi as ExampleCaloDigi
+from Configurables import Jug__Digi__UFSDTrackerDigi as TrackerDigi
+from Configurables import Jug__Digi__EMCalorimeterDigi as EMCalorimeterDigi
+
+from Configurables import Jug__Reco__TrackerHitReconstruction as TrackerHitReconstruction
+from Configurables import Jug__Reco__TrackingHitsCollector2 as TrackingHitsCollector
+
+from Configurables import Jug__Reco__TrackerSourceLinker as TrackerSourceLinker
+from Configurables import Jug__Reco__TrackerSourcesLinker as TrackerSourcesLinker
+#from Configurables import Jug__Reco__TrackingHitsSourceLinker as TrackingHitsSourceLinker
+from Configurables import Jug__Reco__TrackParamTruthInit as TrackParamTruthInit
+from Configurables import Jug__Reco__TrackParamClusterInit as TrackParamClusterInit
+from Configurables import Jug__Reco__TrackParamVertexClusterInit as TrackParamVertexClusterInit
+
+from Configurables import Jug__Reco__TrackFindingAlgorithm as TrackFindingAlgorithm
+from Configurables import Jug__Reco__ParticlesFromTrackFit as ParticlesFromTrackFit
+from Configurables import Jug__Reco__EMCalReconstruction as EMCalReconstruction
+
+from Configurables import Jug__Reco__SimpleClustering as SimpleClustering
+
+
+algorithms = [ ]
+
+podioinput = PodioInput("PodioReader",
+ collections=["mcparticles","TrackerEndcapHits","TrackerBarrelHits","VertexBarrelHits","VertexEndcapHits","GEMTrackerEndcapHits"])#, OutputLevel=DEBUG)
+algorithms.append( podioinput )
+
+## copiers to get around input --> output copy bug. Note the "2" appended to the output collection.
+copier = MCCopier("MCCopier",
+ inputCollection="mcparticles",
+ outputCollection="mcparticles2")
+algorithms.append( copier )
+
+trkcopier = TrkCopier("TrkCopier",
+ inputCollection="TrackerBarrelHits",
+ outputCollection="TrackerBarrelHits2")
+algorithms.append( trkcopier )
+
+trk_b_digi = TrackerDigi("trk_b_digi",
+ inputHitCollection="TrackerBarrelHits",
+ outputHitCollection="TrackerBarrelRawHits",
+ timeResolution=8)
+algorithms.append( trk_b_digi )
+trk_ec_digi = TrackerDigi("trk_ec_digi",
+ inputHitCollection="TrackerEndcapHits",
+ outputHitCollection="TrackerEndcapRawHits",
+ timeResolution=8)
+algorithms.append( trk_ec_digi )
+
+vtx_b_digi = TrackerDigi("vtx_b_digi",
+ inputHitCollection="VertexBarrelHits",
+ outputHitCollection="VertexBarrelRawHits",
+ timeResolution=8)
+algorithms.append( vtx_b_digi )
+
+vtx_ec_digi = TrackerDigi("vtx_ec_digi",
+ inputHitCollection="VertexEndcapHits",
+ outputHitCollection="VertexEndcapRawHits",
+ timeResolution=8)
+algorithms.append( vtx_ec_digi )
+
+gem_ec_digi = TrackerDigi("gem_ec_digi",
+ inputHitCollection="GEMTrackerEndcapHits",
+ outputHitCollection="GEMTrackerEndcapRawHits",
+ timeResolution=10)
+algorithms.append(gem_ec_digi)
+
+# Tracker and vertex reconstruction
+trk_b_reco = TrackerHitReconstruction("trk_b_reco",
+ inputHitCollection = trk_b_digi.outputHitCollection,
+ outputHitCollection="TrackerBarrelRecHits")
+algorithms.append( trk_b_reco )
+
+trk_ec_reco = TrackerHitReconstruction("trk_ec_reco",
+ inputHitCollection = trk_ec_digi.outputHitCollection,
+ outputHitCollection="TrackerEndcapRecHits")
+algorithms.append( trk_ec_reco )
+
+vtx_b_reco = TrackerHitReconstruction("vtx_b_reco",
+ inputHitCollection = vtx_b_digi.outputHitCollection,
+ outputHitCollection="VertexBarrelRecHits")
+algorithms.append( vtx_b_reco )
+
+vtx_ec_reco = TrackerHitReconstruction("vtx_ec_reco",
+ inputHitCollection = vtx_ec_digi.outputHitCollection,
+ outputHitCollection="VertexEndcapRecHits")
+algorithms.append( vtx_ec_reco )
+
+gem_ec_reco = TrackerHitReconstruction("gem_ec_reco",
+ inputHitCollection=gem_ec_digi.outputHitCollection,
+ outputHitCollection="GEMTrackerEndcapRecHits")
+algorithms.append(gem_ec_reco)
+
+trk_hit_col = TrackingHitsCollector("trk_hit_col",
+ inputTrackingHits=[
+ str(trk_b_reco.outputHitCollection),
+ str(trk_ec_reco.outputHitCollection),
+ str(vtx_b_reco.outputHitCollection),
+ str(vtx_ec_reco.outputHitCollection),
+ str(gem_ec_reco.outputHitCollection) ],
+ trackingHits="trackingHits",
+ OutputLevel=DEBUG)
+algorithms.append( trk_hit_col )
+
+# Hit Source linker
+sourcelinker = TrackerSourceLinker("sourcelinker",
+ inputHitCollection=trk_hit_col.trackingHits,
+ outputSourceLinks="TrackSourceLinks",
+ outputMeasurements="TrackMeasurements",
+ OutputLevel=DEBUG)
+algorithms.append( sourcelinker )
+
+## Track param init
+truth_trk_init = TrackParamTruthInit("truth_trk_init",
+ inputMCParticles="mcparticles",
+ outputInitialTrackParameters="InitTrackParams")
+ #OutputLevel=DEBUG)
+algorithms.append( truth_trk_init )
+
+# Tracking algorithms
+trk_find_alg = TrackFindingAlgorithm("trk_find_alg",
+ inputSourceLinks = sourcelinker.outputSourceLinks,
+ inputMeasurements = sourcelinker.outputMeasurements,
+ inputInitialTrackParameters= "InitTrackParams",#"InitTrackParamsFromClusters",
+ outputTrajectories="trajectories")
+ #OutputLevel=DEBUG)
+algorithms.append( trk_find_alg )
+
+parts_from_fit = ParticlesFromTrackFit("parts_from_fit",
+ inputTrajectories="trajectories",
+ outputParticles="ReconstructedParticles",
+ outputTrackParameters="outputTrackParameters")
+ #OutputLevel=DEBUG)
+algorithms.append( parts_from_fit )
+
+#types = []
+## this printout is useful to check that the type information is passed to python correctly
+#print("---------------------------------------\n")
+#print("---\n# List of input and output types by class")
+#for configurable in sorted([ PodioInput, EICDataSvc, PodioOutput,
+# TrackerHitReconstruction,ExampleCaloDigi,
+# UFSDTrackerDigi, TrackerSourceLinker,
+# PodioOutput],
+# key=lambda c: c.getType()):
+# print("\"{}\":".format(configurable.getType()))
+# props = configurable.getDefaultProperties()
+# for propname, prop in sorted(props.items()):
+# print(" prop name: {}".format(propname))
+# if isinstance(prop, DataHandleBase):
+# types.append(prop.type())
+# print(" {}: \"{}\"".format(propname, prop.type()))
+#print("---")
+
+out = PodioOutput("out", filename=output_rec_file)
+out.outputCommands = ["keep *",
+ "drop BarrelTrackSourceLinks",
+ "drop InitTrackParams",
+ "drop trajectories",
+ "drop outputSourceLinks",
+ "drop outputInitialTrackParameters",
+ "drop mcparticles"
+ ]
+algorithms.append(out)
+
+ApplicationMgr(
+ TopAlg = algorithms,
+ EvtSel = 'NONE',
+ EvtMax = n_events,
+ ExtSvc = [podioevent,geo_service],
+ OutputLevel=WARNING
+ )
+
diff --git a/benchmarks/track_fitting/scripts/gen_multiple_tracks.cxx b/benchmarks/track_fitting/scripts/gen_multiple_tracks.cxx
new file mode 100644
index 0000000000000000000000000000000000000000..f26840068ae6697d286e5f4c63f18e7d808798f7
--- /dev/null
+++ b/benchmarks/track_fitting/scripts/gen_multiple_tracks.cxx
@@ -0,0 +1,81 @@
+#include "HepMC3/GenEvent.h"
+#include "HepMC3/ReaderAscii.h"
+#include "HepMC3/WriterAscii.h"
+#include "HepMC3/Print.h"
+
+#include <iostream>
+#include<random>
+#include<cmath>
+#include <math.h>
+#include <TMath.h>
+
+using namespace HepMC3;
+
+/** Generate multiple electrons/positron tracks in the central region.
+ * This is for testing detectors in the "barrel" region.
+ */
+void gen_multiple_tracks(int n_events = 100,
+ const char* out_fname = "multiple_tracks.hepmc",
+ int n_parts = 2)
+{
+ double cos_theta_min = std::cos( 10.0*(M_PI/180.0));
+ double cos_theta_max = std::cos(170.0*(M_PI/180.0));
+
+ WriterAscii hepmc_output(out_fname);
+ int events_parsed = 0;
+ GenEvent evt(Units::GEV, Units::MM);
+
+ // Random number generator
+ TRandom *r1 = new TRandom();
+
+ for (events_parsed = 0; events_parsed < n_events; events_parsed++) {
+ // FourVector(px,py,pz,e,pdgid,status)
+ // type 4 is beam
+ // pdgid 11 - electron
+ // pdgid 111 - pi0
+ // pdgid 2212 - proton
+ for (int ip = 0; ip < n_parts; ip++) {
+ GenParticlePtr p1 = std::make_shared<GenParticle>(FourVector(0.0, 0.0, 10.0, 10.0), 11, 4);
+ GenParticlePtr p2 = std::make_shared<GenParticle>(FourVector(0.0, 0.0, 0.0, 0.938), 2212, 4);
+
+ // Define momentum
+ Double_t p = r1->Uniform(1.0, 10.0);
+ Double_t phi = r1->Uniform(0.0, 2.0 * M_PI);
+ Double_t costh = r1->Uniform(cos_theta_min, cos_theta_max);
+ Double_t th = std::acos(costh);
+ Double_t px = p * std::cos(phi) * std::sin(th);
+ Double_t py = p * std::sin(phi) * std::sin(th);
+ Double_t pz = p * std::cos(th);
+ // Generates random vectors, uniformly distributed over the surface of a
+ // sphere of given radius, in this case momentum.
+ // r1->Sphere(px, py, pz, p);
+
+ // std::cout << std::sqrt(px*px + py*py + pz*pz) - p << " is zero? \n";
+
+ // type 1 is final state
+ // pdgid 11 - electron 0.510 MeV/c^2
+ GenParticlePtr p3 = std::make_shared<GenParticle>(FourVector(px, py, pz, sqrt(p * p + (0.000511 * 0.000511))),
+ ((ip % 2 == 0) ? 11 : -11), 1);
+
+ GenVertexPtr v1 = std::make_shared<GenVertex>();
+ v1->add_particle_in(p1);
+ v1->add_particle_in(p2);
+
+ v1->add_particle_out(p3);
+ evt.add_vertex(v1);
+ }
+
+ if (events_parsed == 0) {
+ std::cout << "First event: " << std::endl;
+ Print::listing(evt);
+ }
+
+ hepmc_output.write_event(evt);
+ if (events_parsed % 10000 == 0) {
+ std::cout << "Event: " << events_parsed << std::endl;
+ }
+ evt.clear();
+ }
+ hepmc_output.close();
+ std::cout << "Events parsed and written: " << events_parsed << std::endl;
+}
diff --git a/benchmarks/track_fitting/scripts/gen_single_tracks.cxx b/benchmarks/track_fitting/scripts/gen_single_tracks.cxx
new file mode 100644
index 0000000000000000000000000000000000000000..0e41a5058b952d5a46efaae041ff2b67f383055e
--- /dev/null
+++ b/benchmarks/track_fitting/scripts/gen_single_tracks.cxx
@@ -0,0 +1,85 @@
+#include "HepMC3/GenEvent.h"
+#include "HepMC3/ReaderAscii.h"
+#include "HepMC3/WriterAscii.h"
+#include "HepMC3/Print.h"
+
+#include <iostream>
+#include <random>
+#include <cmath>
+
+#include "TMath.h"
+
+#include "common_bench/particles.h"
+
+using namespace HepMC3;
+
+/** Generate electrons in the central region.
+ * This is for testing detectors in the "barrel" region.
+ */
+void gen_single_tracks(int n_events = 100,
+ const char* out_fname = "single_tracks.hepmc")
+{
+ double cos_theta_min = std::cos( 10.0*(M_PI/180.0));
+ double cos_theta_max = std::cos(170.0*(M_PI/180.0));
+
+ WriterAscii hepmc_output(out_fname);
+ int events_parsed = 0;
+ GenEvent evt(Units::GEV, Units::MM);
+
+ // Random number generator
+ TRandom *r1 = new TRandom();
+
+ for (events_parsed = 0; events_parsed < n_events; events_parsed++) {
+ // FourVector(px,py,pz,e,pdgid,status)
+ // type 4 is beam
+ // pdgid 11 - electron
+ // pdgid 111 - pi0
+ // pdgid 2212 - proton
+ GenParticlePtr p1 =
+ std::make_shared<GenParticle>(FourVector(0.0, 0.0, 10.0, 10.0), 11, 4);
+ GenParticlePtr p2 = std::make_shared<GenParticle>(
+ FourVector(0.0, 0.0, 0.0, 0.938), 2212, 4);
+
+ // Define momentum
+ Double_t p = r1->Uniform(1.0, 10.0);
+ Double_t phi = r1->Uniform(0.0, 2.0 * M_PI);
+ Double_t costh = r1->Uniform(cos_theta_min, cos_theta_max);
+ Double_t th = std::acos(costh);
+ Double_t px = p * std::cos(phi) * std::sin(th);
+ Double_t py = p * std::sin(phi) * std::sin(th);
+ Double_t pz = p * std::cos(th);
+ // Generates random vectors, uniformly distributed over the surface of a
+ // sphere of given radius, in this case momentum.
+ // r1->Sphere(px, py, pz, p);
+
+ //std::cout << std::sqrt(px*px + py*py + pz*pz) - p << " is zero? \n";
+
+ // type 1 is final state
+ // pdgid 11 - electron 0.510 MeV/c^2
+ GenParticlePtr p3 = std::make_shared<GenParticle>(
+ FourVector(
+ px, py, pz,
+ sqrt(p*p + (0.000511 * 0.000511))),
+ 11, 1);
+
+ GenVertexPtr v1 = std::make_shared<GenVertex>();
+ v1->add_particle_in(p1);
+ v1->add_particle_in(p2);
+
+ v1->add_particle_out(p3);
+ evt.add_vertex(v1);
+
+ if (events_parsed == 0) {
+ std::cout << "First event: " << std::endl;
+ Print::listing(evt);
+ }
+
+ hepmc_output.write_event(evt);
+ if (events_parsed % 10000 == 0) {
+ std::cout << "Event: " << events_parsed << std::endl;
+ }
+ evt.clear();
+ }
+ hepmc_output.close();
+ std::cout << "Events parsed and written: " << events_parsed << std::endl;
+}
diff --git a/benchmarks/track_fitting/scripts/rec_multiple_tracks.cxx b/benchmarks/track_fitting/scripts/rec_multiple_tracks.cxx
new file mode 100644
index 0000000000000000000000000000000000000000..02bd77de9c2f6596303874e0a03c0ab4378e5ec1
--- /dev/null
+++ b/benchmarks/track_fitting/scripts/rec_multiple_tracks.cxx
@@ -0,0 +1,225 @@
+#include "ROOT/RDataFrame.hxx"
+#include "TCanvas.h"
+#include "TLegend.h"
+#include "TH1D.h"
+#include "TProfile.h"
+
+#include <iostream>
+
+R__LOAD_LIBRARY(libeicd.so)
+R__LOAD_LIBRARY(libDD4pod.so)
+#include "dd4pod/Geant4ParticleCollection.h"
+#include "eicd/TrackParametersCollection.h"
+#include "eicd/ClusterCollection.h"
+#include "eicd/ClusterData.h"
+#include "eicd/TrackerHitCollection.h"
+
+using ROOT::RDataFrame;
+using namespace ROOT::VecOps;
+
+auto p_track = [](std::vector<eic::TrackParametersData> const& in) {
+ std::vector<double> result;
+ for (size_t i = 0; i < in.size(); ++i) {
+ result.push_back(std::abs(1.0/(in[i].qOverP)));
+ }
+ return result;
+};
+
+
+std::vector<float> pt (std::vector<dd4pod::Geant4ParticleData> const& in){
+ std::vector<float> result;
+ for (size_t i = 0; i < in.size(); ++i) {
+ result.push_back(std::sqrt(in[i].ps.x * in[i].ps.x + in[i].ps.y * in[i].ps.y));
+ }
+ return result;
+}
+
+auto momentum = [](std::vector<ROOT::Math::PxPyPzMVector> const& in) {
+ std::vector<double> result;
+ for (size_t i = 0; i < in.size(); ++i) {
+ result.push_back(in[i].P());
+ }
+ return result;
+};
+auto theta = [](std::vector<ROOT::Math::PxPyPzMVector> const& in) {
+ std::vector<double> result;
+ for (size_t i = 0; i < in.size(); ++i) {
+ result.push_back(in[i].Theta()*180/M_PI);
+ }
+ return result;
+};
+auto fourvec = [](ROOT::VecOps::RVec<dd4pod::Geant4ParticleData> const& in) {
+ std::vector<ROOT::Math::PxPyPzMVector> result;
+ ROOT::Math::PxPyPzMVector lv;
+ for (size_t i = 0; i < in.size(); ++i) {
+ lv.SetCoordinates(in[i].ps.x, in[i].ps.y, in[i].ps.z, in[i].mass);
+ result.push_back(lv);
+ }
+ return result;
+};
+
+auto delta_p = [](const std::vector<double>& tracks, const std::vector<double>& thrown) {
+ std::vector<double> res;
+ for (const auto& p1 : thrown) {
+ for (const auto& p2 : tracks) {
+ res.push_back(p1 - p2);
+ }
+ }
+ return res;
+};
+
+auto delta_p_over_p = [](const std::vector<double>& tracks, const std::vector<double>& thrown) {
+ std::vector<double> res;
+ for (const auto& p1 : thrown) {
+ for (const auto& p2 : tracks) {
+ res.push_back((p1 - p2)/p1);
+ }
+ }
+ return res;
+};
+
+int rec_multiple_tracks(const char* fname = "topside/rec_multiple_tracks.root")
+{
+
+ ROOT::EnableImplicitMT();
+ ROOT::RDataFrame df("events", fname);
+
+ auto df0 = df.Define("isThrown", "mcparticles2.genStatus == 1")
+ .Define("thrownParticles", "mcparticles2[isThrown]")
+ .Define("thrownP", fourvec, {"thrownParticles"})
+ .Define("p_thrown", momentum, {"thrownP"})
+ .Define("theta_thrown", theta, {"thrownP"})
+ .Define("theta0", "theta_thrown[0]")
+ .Define("nTracks", "outputTrackParameters.size()")
+ .Define("p_track", p_track, {"outputTrackParameters"})
+ .Define("delta_p0",delta_p, {"p_track", "p_thrown"})
+ .Define("delta_p_over_p0",delta_p_over_p, {"p_track", "p_thrown"})
+ .Define("N_Hits", [](std::vector<eic::TrackerHitData> hits) { return hits.size();}, {"trackingHits"})
+ .Define("N_BarrelHits", [](std::vector<eic::TrackerHitData> hits) { return hits.size();}, {"TrackerBarrelRecHits"})
+ .Define("N_EndcapHits", [](std::vector<eic::TrackerHitData> hits) { return hits.size();}, {"TrackerEndcapRecHits"})
+ ;
+
+ auto h_nTracks_vs_theta = df0.Histo2D({"h_nTracks_vs_theta", "; #theta; N tracks ", 40,0,180,10, 0, 10}, "theta0","nTracks");
+
+ auto h_nTracks = df0.Histo1D({"h_nTracks", "; N tracks ", 10, 0, 10}, "nTracks");
+ auto h_pTracks = df0.Histo1D({"h_pTracks", "; GeV/c ", 100, 0, 10}, "p_track");
+
+ auto h_delta_p0 = df0.Histo1D({"h_delta_p0", "Truth Track Init; GeV/c ", 100, -10, 10}, "delta_p0");
+
+ auto h_delta_p0_over_p = df0.Histo1D({"h_delta_p0_over_p", "Truth Track Init; delta p/p ", 100, -0.1, 0.1}, "delta_p_over_p0");
+
+ auto hNhits_vs_theta = df0.Histo1D({"hNhits_vs_theta", "; #theta [deg.]", 40, 0, 180 }, "theta0", "N_Hits");
+ auto hBarrel_N_vs_theta = df0.Histo1D({"hBarrel_N_vs_theta", "; #theta [deg.]", 40, 0, 180 }, "theta0", "N_BarrelHits");
+ auto hEndcap_N_vs_theta = df0.Histo1D({"hEndcap_N_vs_theta", "; #theta [deg.]", 40, 0, 180 }, "theta0", "N_EndcapHits");
+
+ auto hHits_Nhits = df0.Histo1D({"hHits_Nhits", "; #theta [deg.]", 20, 0, 20 }, "N_Hits");
+ auto hBarrel_Nhits = df0.Histo1D({"hBarrel_Nhits", "; #theta [deg.]", 20, 0, 20 }, "N_BarrelHits");
+ auto hEndcap_Nhits = df0.Histo1D({"hEndcap_Nhits", "; #theta [deg.]", 20, 0, 20 }, "N_EndcapHits");
+
+ auto hHits_Ntheta = df0.Histo1D({"hHits_Ntheta", "; #theta [deg.]", 40, 0, 180 }, "theta0");
+ auto hBarrel_Ntheta = df0.Histo1D({"hBarrel_Ntheta", "; #theta [deg.]", 40, 0, 180 }, "theta0");
+ auto hEndcap_Ntheta = df0.Histo1D({"hEndcap_Ntheta", "; #theta [deg.]", 40, 0, 180 }, "theta0");
+
+ // -----------------------------------------------
+ auto c = new TCanvas();
+
+ h_nTracks->DrawCopy();
+ c->SaveAs("results/tracking/rec_multiple_tracks_nTracks.png");
+ c->SaveAs("results/tracking/rec_multiple_tracks_nTracks.pdf");
+
+ // -----------------------------------------------
+ h_pTracks->DrawCopy();
+ c->SaveAs("results/tracking/rec_multiple_tracks_pTracks.png");
+ c->SaveAs("results/tracking/rec_multiple_tracks_pTracks.pdf");
+
+ // -----------------------------------------------
+ c = new TCanvas();
+ THStack * hs = new THStack("hs_delta_p","; GeV/c ");
+ TH1D* h1 = (TH1D*) h_delta_p0->Clone();
+ hs->Add(h1);
+ hs->Draw("nostack");
+ c->BuildLegend();
+ c->SaveAs("results/tracking/rec_multiple_tracks_delta_p.png");
+ c->SaveAs("results/tracking/rec_multiple_tracks_delta_p.pdf");
+
+ // -----------------------------------------------
+ c = new TCanvas();
+ hs = new THStack("hs_delta_p_over_p","; delta p/p ");
+ h1 = (TH1D*) h_delta_p0_over_p->Clone();
+ hs->Add(h1);
+ hs->Draw("nostack");
+ c->BuildLegend();
+ c->SaveAs("results/tracking/rec_multiple_tracks_delta_p_over_p.png");
+ c->SaveAs("results/tracking/rec_multiple_tracks_delta_p_over_p.pdf");
+
+ // -----------------------------------------------
+ c = new TCanvas();
+ hs = new THStack("n_hits","; #theta ");
+
+ h1 = (TH1D*) hBarrel_N_vs_theta->Clone();
+ auto h2 = (TH1D*) hBarrel_Ntheta->Clone();
+ h1->SetLineColor(4);
+ h1->Divide(h2);
+ hs->Add(h1);
+
+ h1 = (TH1D*) hEndcap_N_vs_theta->Clone();
+ h2 = (TH1D*) hEndcap_Ntheta->Clone();
+ h1->Divide(h2);
+ h1->SetLineColor(2);
+ hs->Add(h1);
+
+ h1 = (TH1D*) hNhits_vs_theta->Clone();
+ h2 = (TH1D*) hHits_Ntheta->Clone();
+ h1->Divide(h2);
+ h1->SetLineColor(1);
+ hs->Add(h1);
+
+ hs->Draw("nostack, hist");
+ c->BuildLegend();
+ c->SaveAs("results/tracking/rec_multiple_tracks_n_hits_vs_theta.png");
+ c->SaveAs("results/tracking/rec_multiple_tracks_n_hits_vs_theta.pdf");
+
+ // -----------------------------------------------
+ c = new TCanvas();
+ hs = new THStack("theta","; #theta ");
+
+ h2 = (TH1D*) hBarrel_Ntheta->Clone();
+ h2->SetLineColor(4);
+ hs->Add(h2);
+
+ h2 = (TH1D*) hEndcap_Ntheta->Clone();
+ h2->SetLineColor(2);
+ hs->Add(h2);
+
+ h2 = (TH1D*) hHits_Ntheta->Clone();
+ h2->SetLineColor(1);
+ hs->Add(h2);
+
+ hs->Draw("nostack hist");
+ c->BuildLegend();
+ c->SaveAs("results/tracking/rec_multiple_tracks_theta.png");
+ c->SaveAs("results/tracking/rec_multiple_tracks_theta.pdf");
+
+ // -----------------------------------------------
+ c = new TCanvas();
+ hs = new THStack("hits","; hits ");
+ h1 = (TH1D*) hBarrel_Nhits->Clone();
+ h1->SetLineColor(4);
+ hs->Add(h1);
+ h1 = (TH1D*) hEndcap_Nhits->Clone();
+ h1->SetLineColor(2);
+ hs->Add(h1);
+ h1 = (TH1D*) hHits_Nhits->Clone();
+ h1->SetLineColor(2);
+ hs->Add(h1);
+ c->BuildLegend();
+ c->SaveAs("results/tracking/rec_multiple_tracks_nhits.png");
+ c->SaveAs("results/tracking/rec_multiple_tracks_nhits.pdf");
+
+ // -----------------------------------------------
+ c = new TCanvas();
+ h_nTracks_vs_theta->DrawCopy("colz");
+ c->SaveAs("results/tracking/rec_multiple_tracks_nTracks_vs_theta.png");
+ c->SaveAs("results/tracking/rec_multiple_tracks_nTracks_vs_theta.pdf");
+ return 0;
+}
diff --git a/benchmarks/track_fitting/scripts/rec_single_tracks.cxx b/benchmarks/track_fitting/scripts/rec_single_tracks.cxx
new file mode 100644
index 0000000000000000000000000000000000000000..c9c4158f67946b28631fae6ca1ed28cb88ee2717
--- /dev/null
+++ b/benchmarks/track_fitting/scripts/rec_single_tracks.cxx
@@ -0,0 +1,249 @@
+#include "ROOT/RDataFrame.hxx"
+#include "TCanvas.h"
+#include "TLegend.h"
+#include "TH1D.h"
+#include "TProfile.h"
+
+#include <iostream>
+
+R__LOAD_LIBRARY(libeicd.so)
+R__LOAD_LIBRARY(libDD4pod.so)
+#include "dd4pod/Geant4ParticleCollection.h"
+#include "eicd/TrackParametersCollection.h"
+#include "eicd/ClusterCollection.h"
+#include "eicd/ClusterData.h"
+#include "eicd/TrackerHitCollection.h"
+
+using ROOT::RDataFrame;
+using namespace ROOT::VecOps;
+
+auto p_track = [](std::vector<eic::TrackParametersData> const& in) {
+ std::vector<double> result;
+ for (size_t i = 0; i < in.size(); ++i) {
+ result.push_back(std::abs(1.0/(in[i].qOverP)));
+ }
+ return result;
+};
+
+
+std::vector<float> pt (std::vector<dd4pod::Geant4ParticleData> const& in){
+ std::vector<float> result;
+ for (size_t i = 0; i < in.size(); ++i) {
+ result.push_back(std::sqrt(in[i].ps.x * in[i].ps.x + in[i].ps.y * in[i].ps.y));
+ }
+ return result;
+}
+
+auto momentum = [](std::vector<ROOT::Math::PxPyPzMVector> const& in) {
+ std::vector<double> result;
+ for (size_t i = 0; i < in.size(); ++i) {
+ result.push_back(in[i].P());
+ }
+ return result;
+};
+auto theta = [](std::vector<ROOT::Math::PxPyPzMVector> const& in) {
+ std::vector<double> result;
+ for (size_t i = 0; i < in.size(); ++i) {
+ result.push_back(in[i].Theta()*180/M_PI);
+ }
+ return result;
+};
+auto fourvec = [](ROOT::VecOps::RVec<dd4pod::Geant4ParticleData> const& in) {
+ std::vector<ROOT::Math::PxPyPzMVector> result;
+ ROOT::Math::PxPyPzMVector lv;
+ for (size_t i = 0; i < in.size(); ++i) {
+ lv.SetCoordinates(in[i].ps.x, in[i].ps.y, in[i].ps.z, in[i].mass);
+ result.push_back(lv);
+ }
+ return result;
+};
+
+auto delta_p = [](const std::vector<double>& tracks, const std::vector<double>& thrown) {
+ std::vector<double> res;
+ for (const auto& p1 : thrown) {
+ for (const auto& p2 : tracks) {
+ res.push_back(p1 - p2);
+ }
+ }
+ return res;
+};
+
+auto delta_p_over_p = [](const std::vector<double>& tracks, const std::vector<double>& thrown) {
+ std::vector<double> res;
+ for (const auto& p1 : thrown) {
+ for (const auto& p2 : tracks) {
+ res.push_back((p1 - p2)/p1);
+ }
+ }
+ return res;
+};
+
+int rec_single_tracks(const char* fname = "topside/rec_single_tracks.root")
+{
+
+ ROOT::EnableImplicitMT();
+ ROOT::RDataFrame df("events", fname);
+
+ auto df0 = df.Define("isThrown", "mcparticles2.genStatus == 1")
+ .Define("thrownParticles", "mcparticles2[isThrown]")
+ .Define("thrownP", fourvec, {"thrownParticles"})
+ .Define("p_thrown", momentum, {"thrownP"})
+ .Define("theta_thrown", theta, {"thrownP"})
+ .Define("theta0", "theta_thrown[0]")
+ .Define("nTracks", "outputTrackParameters.size()")
+ .Define("p_track", p_track, {"outputTrackParameters"})
+ //.Define("p_track1", p_track, {"outputTrackParameters1"})
+ //.Define("p_track2", p_track, {"outputTrackParameters2"})
+ .Define("delta_p0",delta_p, {"p_track", "p_thrown"})
+ //.Define("delta_p1",delta_p, {"p_track1", "p_thrown"})
+ //.Define("delta_p2",delta_p, {"p_track2", "p_thrown"})
+ .Define("delta_p_over_p0",delta_p_over_p, {"p_track", "p_thrown"})
+ //.Define("delta_p_over_p1",delta_p_over_p, {"p_track1", "p_thrown"})
+ //.Define("delta_p_over_p2",delta_p_over_p, {"p_track2", "p_thrown"})
+ //.Define("N_VtxBarrelHits",[](std::vector<eic::TrackerHitData> hits) { return hits.size();},{"VertexBarrelRecHits"})
+ .Define("N_Hits", [](std::vector<eic::TrackerHitData> hits) { return hits.size();}, {"trackingHits"})
+ .Define("N_BarrelHits", [](std::vector<eic::TrackerHitData> hits) { return hits.size();}, {"TrackerBarrelRecHits"})
+ .Define("N_EndcapHits", [](std::vector<eic::TrackerHitData> hits) { return hits.size();}, {"TrackerEndcapRecHits"})
+ ;
+
+ auto h_nTracks_vs_theta = df0.Histo2D({"h_nTracks_vs_theta", "; #theta; N tracks ", 40,0,180,10, 0, 10}, "theta0","nTracks");
+
+ auto h_nTracks = df0.Histo1D({"h_nTracks", "; N tracks ", 10, 0, 10}, "nTracks");
+ auto h_pTracks = df0.Histo1D({"h_pTracks", "; GeV/c ", 100, 0, 10}, "p_track");
+
+ auto h_delta_p0 = df0.Histo1D({"h_delta_p0", "Truth Track Init; GeV/c ", 100, -10, 10}, "delta_p0");
+
+ auto h_delta_p0_over_p = df0.Histo1D({"h_delta_p0_over_p", "Truth Track Init; delta p/p ", 100, -0.1, 0.1}, "delta_p_over_p0");
+
+ auto hNhits_vs_theta = df0.Histo1D({"hNhits_vs_theta", "; #theta [deg.]", 40, 0, 180 }, "theta0", "N_Hits");
+ auto hBarrel_N_vs_theta = df0.Histo1D({"hBarrel_N_vs_theta", "; #theta [deg.]", 40, 0, 180 }, "theta0", "N_BarrelHits");
+ auto hEndcap_N_vs_theta = df0.Histo1D({"hEndcap_N_vs_theta", "; #theta [deg.]", 40, 0, 180 }, "theta0", "N_EndcapHits");
+ //auto hVtxBarrel_N_vs_theta = df0.Histo1D({"hVtxBarrel_N_vs_theta", "; #theta [deg.]", 20, 0, 180 }, "theta0", "N_VtxBarrelHits");
+
+ auto hHits_Nhits = df0.Histo1D({"hHits_Nhits", "; #theta [deg.]", 20, 0, 20 }, "N_Hits");
+ auto hBarrel_Nhits = df0.Histo1D({"hBarrel_Nhits", "; #theta [deg.]", 20, 0, 20 }, "N_BarrelHits");
+ auto hEndcap_Nhits = df0.Histo1D({"hEndcap_Nhits", "; #theta [deg.]", 20, 0, 20 }, "N_EndcapHits");
+ //auto hVtxBarrel_Nhits = df0.Histo1D({"hVtxBarrel_Nhits", "; #theta [deg.]", 20, 0, 20 }, "N_VtxBarrelHits");
+
+ auto hHits_Ntheta = df0.Histo1D({"hHits_Ntheta", "; #theta [deg.]", 40, 0, 180 }, "theta0");
+ auto hBarrel_Ntheta = df0.Histo1D({"hBarrel_Ntheta", "; #theta [deg.]", 40, 0, 180 }, "theta0");
+ auto hEndcap_Ntheta = df0.Histo1D({"hEndcap_Ntheta", "; #theta [deg.]", 40, 0, 180 }, "theta0");
+ //auto hVtxBarrel_Ntheta = df0.Histo1D({"hVtxBarrel_Ntheta", "; #theta [deg.]", 20, 0, 180 }, "theta0");
+
+ // -----------------------------------------------
+ auto c = new TCanvas();
+
+ h_nTracks->DrawCopy();
+ c->SaveAs("results/track_fitting/rec_single_tracks_nTracks.png");
+ c->SaveAs("results/track_fitting/rec_single_tracks_nTracks.pdf");
+
+ // -----------------------------------------------
+ h_pTracks->DrawCopy();
+ c->SaveAs("results/track_fitting/rec_single_tracks_pTracks.png");
+ c->SaveAs("results/track_fitting/rec_single_tracks_pTracks.pdf");
+
+ // -----------------------------------------------
+ c = new TCanvas();
+ THStack * hs = new THStack("hs_delta_p","; GeV/c ");
+ TH1D* h1 = (TH1D*) h_delta_p0->Clone();
+ hs->Add(h1);
+ //h1 = (TH1D*) h_delta_p1->Clone();
+ //h1->SetLineColor(2);
+ //hs->Add(h1);
+ //h1 = (TH1D*) h_delta_p2->Clone();
+ //h1->SetLineColor(4);
+ //h1->SetFillStyle(3001);
+ //h1->SetFillColor(4);
+ //hs->Add(h1);
+ hs->Draw("nostack");
+ c->BuildLegend();
+ c->SaveAs("results/track_fitting/rec_single_tracks_delta_p.png");
+ c->SaveAs("results/track_fitting/rec_single_tracks_delta_p.pdf");
+
+ // -----------------------------------------------
+ c = new TCanvas();
+ hs = new THStack("hs_delta_p_over_p","; delta p/p ");
+ h1 = (TH1D*) h_delta_p0_over_p->Clone();
+ hs->Add(h1);
+ hs->Draw("nostack");
+ c->BuildLegend();
+ c->SaveAs("results/track_fitting/rec_single_tracks_delta_p_over_p.png");
+ c->SaveAs("results/track_fitting/rec_single_tracks_delta_p_over_p.pdf");
+
+ // -----------------------------------------------
+ c = new TCanvas();
+ hs = new THStack("n_hits","; #theta ");
+
+ h1 = (TH1D*) hBarrel_N_vs_theta->Clone();
+ auto h2 = (TH1D*) hBarrel_Ntheta->Clone();
+ h1->SetLineColor(4);
+ h1->Divide(h2);
+ hs->Add(h1);
+
+ h1 = (TH1D*) hEndcap_N_vs_theta->Clone();
+ h2 = (TH1D*) hEndcap_Ntheta->Clone();
+ h1->Divide(h2);
+ h1->SetLineColor(2);
+ hs->Add(h1);
+
+ h1 = (TH1D*) hNhits_vs_theta->Clone();
+ h2 = (TH1D*) hHits_Ntheta->Clone();
+ h1->Divide(h2);
+ h1->SetLineColor(1);
+ hs->Add(h1);
+
+ hs->Draw("nostack, hist");
+ c->BuildLegend();
+ c->SaveAs("results/track_fitting/rec_single_tracks_n_hits_vs_theta.png");
+ c->SaveAs("results/track_fitting/rec_single_tracks_n_hits_vs_theta.pdf");
+
+ // -----------------------------------------------
+ c = new TCanvas();
+ hs = new THStack("theta","; #theta ");
+
+ h2 = (TH1D*) hBarrel_Ntheta->Clone();
+ h2->SetLineColor(4);
+ hs->Add(h2);
+
+ h2 = (TH1D*) hEndcap_Ntheta->Clone();
+ h2->SetLineColor(2);
+ hs->Add(h2);
+
+ h2 = (TH1D*) hHits_Ntheta->Clone();
+ h2->SetLineColor(1);
+ hs->Add(h2);
+
+ hs->Draw("nostack hist");
+ c->BuildLegend();
+ c->SaveAs("results/track_fitting/rec_single_tracks_theta.png");
+ c->SaveAs("results/track_fitting/rec_single_tracks_theta.pdf");
+
+ // -----------------------------------------------
+ c = new TCanvas();
+ hs = new THStack("hits","; hits ");
+ h1 = (TH1D*) hBarrel_Nhits->Clone();
+ h1->SetLineColor(4);
+ hs->Add(h1);
+ h1 = (TH1D*) hEndcap_Nhits->Clone();
+ h1->SetLineColor(2);
+ hs->Add(h1);
+ h1 = (TH1D*) hHits_Nhits->Clone();
+ h1->SetLineColor(2);
+ hs->Add(h1);
+ //h1 = (TH1D*) hVtxBarrel_Nhits->Clone();
+ //h1->SetLineColor(4);
+ //h1->SetFillStyle(3001);
+ //h1->SetFillColor(4);
+ //hs->Add(h1);
+ //hs->Draw("nostack hist");
+ c->BuildLegend();
+ c->SaveAs("results/track_fitting/rec_single_tracks_nhits.png");
+ c->SaveAs("results/track_fitting/rec_single_tracks_nhits.pdf");
+
+ // -----------------------------------------------
+ c = new TCanvas();
+ h_nTracks_vs_theta->DrawCopy("colz");
+ c->SaveAs("results/track_fitting/rec_single_tracks_nTracks_vs_theta.png");
+ c->SaveAs("results/track_fitting/rec_single_tracks_nTracks_vs_theta.pdf");
+ return 0;
+}
diff --git a/benchmarks/track_fitting/single_tracks.sh b/benchmarks/track_fitting/single_tracks.sh
new file mode 100644
index 0000000000000000000000000000000000000000..dc84059cab441157099938197e6486f7e157d65a
--- /dev/null
+++ b/benchmarks/track_fitting/single_tracks.sh
@@ -0,0 +1,108 @@
+#!/bin/bash
+
+function print_the_help {
+ echo "USAGE: ${0} "
+ echo " OPTIONS: "
+ exit
+}
+
+REC_ONLY=
+ANALYSIS_ONLY=
+
+POSITIONAL=()
+while [[ $# -gt 0 ]]
+do
+ key="$1"
+
+ case $key in
+ -h|--help)
+ shift # past argument
+ print_the_help
+ ;;
+ #--ana-only)
+ # ANALYSIS_ONLY=1
+ # shift # past value
+ # ;;
+ *) # unknown option
+ #POSITIONAL+=("$1") # save it in an array for later
+ echo "unknown option $1"
+ print_the_help
+ shift # past argument
+ ;;
+ esac
+done
+set -- "${POSITIONAL[@]}" # restore positional parameters
+
+
+print_env.sh
+
+## To run the reconstruction, we need the following global variables:
+## - JUGGLER_INSTALL_PREFIX: Install prefix for Juggler (simu/recon)
+## - JUGGLER_DETECTOR: the detector package we want to use for this benchmark
+## - JUGGLER_DETECTOR_VERSION: the detector package we want to use for this benchmark
+## - DETECTOR_PATH: full path to the detector definitions
+
+if [[ ! -n "${JUGGLER_N_EVENTS}" ]] ; then
+ export JUGGLER_N_EVENTS=100
+fi
+export JUGGLER_N_EVENTS=$(expr ${JUGGLER_N_EVENTS} \* 1)
+
+
+export JUGGLER_FILE_NAME_TAG="single_tracks"
+export JUGGLER_GEN_FILE="${JUGGLER_FILE_NAME_TAG}.hepmc"
+
+export JUGGLER_SIM_FILE="sim_${JUGGLER_FILE_NAME_TAG}.root"
+export JUGGLER_REC_FILE="rec_${JUGGLER_FILE_NAME_TAG}.root"
+
+echo "JUGGLER_N_EVENTS = ${JUGGLER_N_EVENTS}"
+echo "JUGGLER_DETECTOR = ${JUGGLER_DETECTOR}"
+
+## generate the input events
+root -b -q "benchmarks/track_fitting/scripts/gen_single_tracks.cxx(${JUGGLER_N_EVENTS}, \"${JUGGLER_FILE_NAME_TAG}.hepmc\")"
+if [[ "$?" -ne "0" ]] ; then
+ echo "ERROR running script"
+ exit 1
+fi
+
+echo "Running geant4 simulation"
+## run geant4 simulations
+npsim --runType batch \
+ --part.minimalKineticEnergy 1000*GeV \
+ -v WARNING \
+ --numberOfEvents ${JUGGLER_N_EVENTS} \
+ --compactFile ${DETECTOR_PATH}/${JUGGLER_DETECTOR}.xml \
+ --inputFiles ${JUGGLER_FILE_NAME_TAG}.hepmc \
+ --outputFile ${JUGGLER_SIM_FILE}
+if [[ "$?" -ne "0" ]] ; then
+ echo "ERROR running script"
+ exit 1
+fi
+
+rootls -t ${JUGGLER_SIM_FILE}
+
+if [[ -z "${ANALYSIS_ONLY}" ]] ;
+then
+ # Need to figure out how to pass file name to juggler from the commandline
+ gaudirun.py benchmarks/track_fitting/options/tracker_reconstruction.py
+ if [[ "$?" -ne "0" ]] ; then
+ echo "ERROR running juggler"
+ exit 1
+ fi
+fi
+
+mkdir -p results/track_fitting
+
+root -b -q "benchmarks/track_fitting/scripts/rec_single_tracks.cxx(\"${JUGGLER_REC_FILE}\")"
+if [[ "$?" -ne "0" ]] ; then
+ echo "ERROR running root script"
+ exit 1
+fi
+
+root_filesize=$(stat --format=%s "${JUGGLER_REC_FILE}")
+if [[ "${JUGGLER_N_EVENTS}" -lt "500" ]] ; then
+ # file must be less than 10 MB to upload
+ if [[ "${root_filesize}" -lt "10000000" ]] ; then
+ cp ${JUGGLER_REC_FILE} results/.
+ fi
+fi
+